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Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid 19 Pandemic
The opinion of disease is important for Covid 19 as the antigen kit and RTPCR are unperfect and should be better for diagnosing such disease. Real Time Return Transcription real time converse transcri...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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DTIC ADA575703: Lightning in the Ionosphere with C/NOFS
The Lightning Detector instrument, which is part of the VEFI (Vector Electric Field Instrument) on-board the C/NOFS (Communications / Navigation Outage Forecast System) was jointly developed with supp...
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Forecasting rupiah exchange rate with learning vector quantization neural network
The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible deve...
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Understanding Machine Learning
From Theory to Algorithms...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Learning Neo4j
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database...
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Discovery of Approaches by Various Machine learning Ensemble Model and Features Selection Method in
Heart disease is one of the leading killers that are widely recognized throughout the globe. Large volumes of clinical data are stored in a variety of systems and biological equipment at hospitals. It...
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Development of internet of vehicles and recurrent neural network enabled intelligent transportation
The number of deaths has increased as a direct result of the increased frequency of traffic accidents, congestion, and other risk factors. Developing countries have prioritised the development of inte...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Old and New Perspectives on Mortality Forecasting
...
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Solving PDEs in Python
The FEniCS Tutorial I...
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CIA Reading Room 05824232: ON FORECASTING THE ANNUAL CYCLE OF CRITICAL IONOSPHERE FREQUENCIES AND MA
pproved for Release: 2017/09/11 C05824232 $v" Op Forecasting, the!,tag. oCz.L_..ie Fr9010.21es and Magnetio- by G. M. Bartenev Izvestlya Akademli Nauk SSSR, Otdeleniye Tekhnicheskikh Nauk, No 9, pp 11...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Factors influencing U.S. canine heartworm (Dirofilaria immitis) prevalence.
This article is from Parasites & Vectors , volume 7 . Abstract Background: This paper examines the individual factors that influence prevalence rates of canine heartworm in the contiguous United State...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
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Variant Construction from Theoretical Foundation to Applications
...
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A Hybrid LSSVR/HMM-Based Prognostic Approach.
This article is from Sensors (Basel, Switzerland) , volume 13 . Abstract In a health management system, prognostics, which is an engineering discipline that predicts a system's future health, is an im...
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Linear Selection Indices in Modern Plant Breeding
...
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Intel Trusted Execution Technology for Server Platforms
A Guide to More Secure Datacenters...
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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DTIC ADA143393: Experiments in Objective Aviation Weather Forecasting Using Upper-Level Steering.
This report describes a series of three experiments designed to test the feasibility of using upper-level steering of weather patterns to produce short-range local forecasts. Objective forecast models...
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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Signal Computing
Digital Signals in the Software Domain...
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DTIC ADA601834: Bayesian Hierarchical Model Characterization of Model Error in Ocean Data Assimilati
The Bayesian Hierarchical Model (BHM) methodology is exploited to identify, characterize, and model the irreducible model error in ocean data assimilation and forecast systems. We describe 4 objective...
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Graph Databases
New Opportunities for Connected Data...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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The Definitive Guide to Graph Databases
for the RDBMS Developer...
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Bayesian Methods in the Search for MH370
...
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DTIC ADA571293: Forecast Skill and Computational Cost of the Correlation Models in 3DVAR Data Assimi
Many background error correlation (BEC) models in data assimilation are formulated in terms of a positive-definite smoothing operator B which simulates the action of correlation matrix on a vector in ...
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Foundations of Machine Learning
...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Enhancing Regression Forecasting with Hybrid Ensemble–Neural Network Models
In regression forecasting problems based on large-scale and noisy datasets, there is often a need to choose between classical machine learning algorithms and modern neural network methods. Classical m...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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DTIC ADA631047: Implementation and Research on the Operational Use of the Mesoscale Prediction Model
Our long-term goal is to implement an operational high-resolution atmospheric data assimilation and prediction system and to use it for daily weather forecasting. To date we have worked on several ope...
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DTIC ADA393078: Developing of Predictors for Cloud-to-Ground Lightning Activity Using Atmospheric St
A detailed examination was performed on several commonly applied atmospheric stability indices and lightning activity from 1993 to 2000 to determine the indices usefulness as predictive tools for dete...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Representation Learning for Natural Language Processing
...
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Data Collection in Fragile States
Innovations from Africa and Beyond...
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OBSERVATIONS OF ENVIRONMENTAL FACTORS AFFECTING INTENSITY CHANGES DURING THE TRACK REVERSAL OF HURRI
The objective of this thesis is to better understand the environmental factors and internal processes that contributed to the unusual track reversal of Hurricane Joaquin (2015) north of the Bahamas an...
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New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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DTIC ADA531924: Bayesian Hierarchical Models to Augment the Mediterranean Forecast System Consolidat
The long term goal of this interdisciplinary research program continues to be the demonstration of Bayesian Hierarchical Model (BHM) utility in several aspects of operational ocean forecasting. The sp...
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DTIC ADA433478: Error Covariance Estimation of Mesoscale Data Assimilation
The goal of this project is to explore and develop new methods of error covariance estimation that will provide necessary statistical descriptions of prediction and observation errors for mesoscale da...
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CIA Reading Room cia-rdp33-02415a000300340010-9: FORECAST REQUIREMENTS FOR UNITED STATES OPERATIONS
Approved For( Release P33(02415A000300340010-9 FORECAST REQUIREMENTS FOR UNITED STATES OPERATIONS 1. Detailed Forecasts For Site a. Weather b. Clouds c. Visibility d. Surface winds 2. Wind forecasts f...
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The Data Journalism Handbook
How Journalists Can Use Data to Improve the News...
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Manual of Digital Earth
...
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What Is Data Science?
The future belongs to the companies and people that turn data into products...
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Big Data in Context
Legal, Social and Technological Insights...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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Projection-Based Clustering through Self-Organization and Swarm Intelligence
Combining Cluster Analysis with the Visualization of High-Dimensional Data...
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Analisis efektifitas transmisi kebijakan moneter konvensional dan syariah dalam mempengaruhi tingkat
The purpose of this research is to analysis the transmission mechanisme of dual monetary system from conventional and sharia to inflation (IHK) using Vector Auto Regression (VAR) methods. The data use...
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Data Science with Microsoft SQL Server 2016
...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Anisotropy Across Fields and Scales
...
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Problem Solving with Algorithms and Data Structures
...
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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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Predicting Fashion Trends Using Machine Learning and Social Media Analytics
Abstract The rapid evolution of fashion trends, driven by dynamic consumer preferences and the influence of social media, presents significant challenges for fashion brands and retailers aiming to sta...
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